Main Page

Highest Contributors

• Admin (2549 Edits)
• Gil (704 Edits)
• Snortheim (608 Edits)
• Chris (507 Edits)
• Hilary (352 Edits)
• Jordan (190 Edits)
• Felix (162 Edits)
• Paul (103 Edits)
• Thomas (55 Edits)
• Xuan (48 Edits)

What is Organic Data Science?

Organic Data Science allows scientists to formulate and resolve science processes through an open framework that facilitates ad-hoc participation and entice collaborators based on attractive science goals. Read more.

Our Science Goal: The Age of Water

We focus on long-standing problems of coupled water and carbon budgets through development of a new scientific paradigm, The Age of Water and Carbon, that melds theory and practice from limnology and hydrology within the new collaborative paradigm of Organic Data Science. We are integrating analytical frameworks from two communities – hydrology and isotope modeling in | Critical Zone Observatories (CZOs) and hydrodynamic water quality modeling from the | Global Lake Ecological Observatory Network (GLEON) – to quantify water and material fluxes from two research sites, the Shales Hills CZO and the GLEON member site, |North Temperate Lakes LTER. This foundation will serve as a nexus for participation by multiple communities and will seed the growth of additional science through shared ideas, knowledge, and data.

Starting Points

• The changing connectivity in the hydroscape.
• The lake organic carbon models

Today's Highlights

We are starting to describe contributors to the project, help us fill in the blanks:

	Expertise	Affiliation
Chris Duffy	Hydrology	Pennsylvania State University
Craig Snortheim	Hydrodynamic modeling	Center for Limnology University of Wisconsin-Madison
David da Motta Marques	Hydrology Hydrodynamic modeling	Universidade Federal do Rio Grande do Sul
Hilary Dugan	Physical limnology	University of Wisconsin-Madison Center for Limnology
Jordan Read	Hydrodynamic modeling Physical limnology	Center for Integrated Data Analytics U.S. Geological Survey
Matt Hipsey	Ecosystem modeling Hydrodynamic modeling	University of Western Australia
Michael Pace		University of Virginia
Patricia Soranno	Landscape limnology	Michigan State University
Paul Hanson	Carbon cycling	Center For Limnology University of Wisconsin - Madison
Steve Jepsen		University of California Merced
Tom Harmon		University of California Merced
Xuan Yu		Pennsylvania State University
Yolanda Gil	AI planning and collaborative problem solving Workflows Semantic Web Semantic wikis Social computing	Information Sciences Institute University of Southern California

We are starting to describe models, help us fill in the blanks:

	Author	Software license	Language
Delft3d	Deltares systems
IPH-ECO	David da Motta Marques
PIHM Software	Gopal Bhatt Lorne Leonard Xuan Yu Chris Duffy Mukesh Kumar	GPL v2	C C++

Contributing to Organic Data Science

We are using a semantic wiki framework with significant extensions to structure collaboration processes. Read more about how this framework works and how to participate and contribute.